Dinesh Gulati
dineshgulati333@gmail.com
+91 933 357 80007
EDUCATION
- Master of Technology in Soil and Water Engineering
- April 2021
- Punjab Agricultural University (PAU), Ludhiana, India
- OCPA: 8.29/10
- Thesis Title: “Simulation of groundwater recharge from transplanted and direct seeded rice fields”
- Advisor: Dr. Sanjay Satpute
- Bachelor of Technology in Agricultural Engineering
- June 2021
- Punjab Agricultural University (PAU), Ludhiana, India
- OCPA: 7.81/10
- Project Title: “Comparative field evaluation of different straw management technologies in combine harvested paddy field under different straw conditions”
- Advisor: Dr. M.K. Narang
RESEARCH INTEREST
RESEARCH EXPERIENCE
Department of Soil Sciences, PAU
May 2021 - May 2022
- Planning and managing field experiments under micro irrigation systems in open fields and under-protected structures
- Developed numerous low-cost microcontroller-based sensors to observe climate and agriculture parameters
- Coordinate with other Ph.D. and Masters students to assist them in their research
- Conduct on-field practical classes for Bachelor students
Department of Soil and Water Engineering, PAU
August 2018 - August 2021
- Field experiments were conducted for direct-seeded rice (DSR) and transplanted rice
- Collect and access daily soil moisture data using Delta PR2 moisture probe.
- Water budgeting to estimate and compare potential groundwater recharge
- Simulation of potential groundwater recharge using HYDRUS-1D
HONORS AND AWARDS
- ISTE National award for best M.Tech thesis in Agricultural Engineering
- Qualified Senior Research Fellow (SRF) examination conducted by Indian Council of Agricultural Research (ICAR)
- Qualified National Eligibility Test (NET) conducted by ICAR
- Recipient of Merit certificate in Postgraduate degree with OCPA of 8.29
- Eligible for the recipient of a Gold medal for securing first rank in Postgraduate degree
- Recipient of University Merit Scholarship during Postgraduate degree as well as Undergraduate degree
- Recipient of Merit certificate in Senior Secondary with score of 87.78%
PUBLICATIONS
Gulati, D., Satpute, S., Kaur, S. et al. Estimation of potential recharge through direct seeded and transplanted rice fields in semi-arid regions of Punjab using HYDRUS-1D. Paddy Water Environ 20, 79–92 (2022). https://doi.org/10.1007/s10333-021-00876-1
Singla, P., Sharda, R., Sharma, S.,Gulati, D., Pandey, K., Navprem, S., Singh, P. K., & Sharma, A. Variation in physio-chemical attributes and WUE during growth and development of Pak choi (Brassica rapa L. subsp. chinensis L.) under different drip fertigation and mulching treatments.Acta Alimentaria 52(3), 458–468(2023). https://doi.org/10.1556/066.2023.00084
ACADEMIC TRAINING DETAILS
- Completed specialization on Deep learning offered by deeplearning.ai on Coursera
- Completed courses related to machine learning with python and fundamentals of R-programming on Udemy
- Attended online course on Real Water Saving in Agriculture (REWAS) organized by FAO and FutureWater
- Attended short course on Geospatial technology for hydrological modelling conducted by Indian Institute of Remote Sensing
- Attended short course on Geospatial modelling for watershed management conducted by Indian Institute of Remote Sensing
- Attended IoT workshop by precision Farming and Development Centre sponsored by NCPAH, Ministry of Agriculture and Corporation, GOI held at Punjab Agricultural University, Ludhiana
- In-house training - Attended in-house training of 15 days at College of Agricultural Engineering and Technology, PAU about various components and working of farm machinery, irrigation equipment and processing of post-harvest food
- Summer Practical Training - Completed four-week training program at Product Training Centre, TAFE, Chennai on basic working principles of Tractors and Farm Implements
TECHNICAL SKILLS
- Proficient in HYDRUS
- Adequate experience with Arc GIS, Google Earth Engine, and CROPWAT
- Experience with Arduino UNO and NordMCU for IoT applications
- Experience with Python language with emphasis on data analysis, machine learning, and deep learning
- Familiar with R-programming
- Proficient in Microsoft Office
LANGUAGES
REFERENCES
Dr. Sanjay Satpute, Scientist
Department of Soil and Water Engineering
Punjab Agricultural University, India
sanjay4471@pau.edu, +91 947 806 9067
Dr. Rakesh Sharda, Principal Scientist
Department of Soil and Water Engineering
Punjab Agricultural University, India
rakeshsharda@pau.edu, +91 985 554 5189
Dr. Samanpreet Kaur, Associate Professor
Department of Soil and Water Engineering
Punjab Agricultural University, India
samanpreet@pau.edu, +91 987 281 8235